The simulation hypothesis proposes that all of our existence is a simulated reality, such as a computer simulation. The simulation hypothesis bears a close resemblance to various other skeptical scenarios from throughout the history of philosophy. The hypothesis was popularized in its current form by Nick Bostrom. The suggestion that such a hypothesis is compatible with all human perceptual experiences is thought to have significant epistemological consequences in the form of philosophical skepticism. Versions of the hypothesis have also been featured in science fiction, appearing as a central plot device in many stories and films. The hypothesis popularized by Bostrom is very disputed, with, for example, theoretical physicist Sabine Hossenfelder, who called it pseudoscience and cosmologist George F. R. Ellis, who stated that "[the hypothesis] is totally impracticable from a technical viewpoint" and that "protagonists seem to have confused science fiction with science. Late-night pub discussion is not a viable theory." (Wikipedia).
Simulation: The Challenge for Data Science
While machine learning has recently had dramatic successes, there is a large class of problems that it will never be able to address on its own. To test a policy proposal, for example, often requires understanding a counterfactual scenario that has never existed in the past, and that may
From playlist Turing Seminars
What Is The Uncertainty Principle?
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From playlist Science Unplugged: Quantum Mechanics
What is the Riemann Hypothesis?
This video provides a basic introduction to the Riemann Hypothesis based on the the superb book 'Prime Obsession' by John Derbyshire. Along the way I look at convergent and divergent series, Euler's famous solution to the Basel problem, and the Riemann-Zeta function. Analytic continuation
From playlist Mathematics
(ML 7.1) Bayesian inference - A simple example
Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).
From playlist Machine Learning
Teach Astronomy - Testing a Hypothesis
http://www.teachastronomy.com/ One of the basic tasks of science is to test hypotheses. A hypothesis is a description of a set of data, a model, usually a mathematical description in most branches of science. To test a hypothesis we need data of sufficient quantity and quality, and our a
From playlist 01. Fundamentals of Science and Astronomy
Fourier Series: Modeling Nature
An intuitive means of understanding the power of Fourier series in modeling nature, to place Fourier series in a physical context for students being introduced to the material. A non-technical, qualitative exploration into applications of Fourier Series. 0:17 Ancient Greek theory of celes
From playlist Data Science
09b Machine Learning: Linear Regression
Lecture on linear regression as an introduction to machine learning prediction. Includes derivation, prediction and confidence intervals, testing model parameters etc. We start simple and build from these concepts to much more complicated machines! Follow along with the demonstration work
From playlist Machine Learning
We do a quick primer of Linear Regression (a ML technique) to prepare us for our next ML base causal inference tool!
From playlist Causal Inference - The Science of Cause and Effect
David Chalmers on Virtual Worlds and the Problems of Philosophy | Closer To Truth Chats
David Chalmers, Professor of Philosophy at New York University where he is co-director of the Center for Mind, Brain, and Consciousness, discusses his important new book, Reality+. The book takes readers on a mind-bending journey through virtual worlds, illuminating the nature of reality a
From playlist Closer To Truth Chats
p values – A Technical Deep Dive
Target audience: scientists who read or write studies containing p-values. Created for 3blue1brown’s Summer of Math Exploration 1.
From playlist Summer of Math Exposition Youtube Videos
The Simulation Hypothesis | Introductory Astronomy Course 11.14
Welcome to Astronomy: Exploring Time and Space, a course from Professor Impey, a University Distinguished Professor of Astronomy at the University of Arizona. Learn about the foundations of astronomy in this free online course here on YouTube. This video is part of module 11, Astrobiology.
From playlist Introductory Astronomy Module 11: Astrobiology
Matrix to metaverse: Can we live a meaningful life in virtual reality? – with David J Chalmers
What is virtual reality? Is virtual reality genuine reality? And might we already be living in a virtual reality? David J Chalmers explores how technophilosophy can help us understand virtual worlds and and whether we can live a meaningful life in virtual reality. Watch the Q&A: https://yo
From playlist Ri Talks
Estimating a P-value from a simulation | AP Statistics | Khan Academy
Example of estimating a P-value based on a simulation to approximate a sampling distribution assuming the null hypothesis is true. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/tests-significance-ap/idea-significance-tests/v/estimating-p-value
From playlist Significance tests (hypothesis testing) | AP Statistics | Khan Academy
Mikael Vejdemo-Johansson (1/22/19): Multiple hypothesis testing with persistent homology
There are methods available now for multiple hypothesis testing in a persistent homology setting. Though suggested by Cericola et al's work on ANOVA type persistent homology tests, there are no methods developed for correcting for multiple hypothesis testing. In joint work with Sayan Mukh
From playlist AATRN 2019
(ML 16.7) EM for the Gaussian mixture model (part 1)
Applying EM (Expectation-Maximization) to estimate the parameters of a Gaussian mixture model. Here we use the alternate formulation presented for (unconstrained) exponential families.
From playlist Machine Learning
Mathematica and Computational Thinking Applied to Engineering
Exergetika is a start-up company, whose value proposal is the application of computational thinking to solve engineering problems that from its conception has been inspired in the computational possibilities offered by Wolfram Mathematica and Wolfram System Modeler. In this conference Exer
From playlist Wolfram Technology Conference 2020
Nick Bostrom: Simulation and Superintelligence | Lex Fridman Podcast #83
Nick Bostrom is a philosopher at University of Oxford and the director of the Future of Humanity Institute. He has worked on fascinating and important ideas in existential risks, simulation hypothesis, human enhancement ethics, and the risks of superintelligent AI systems, including in his
From playlist AI talks
PValues.2.pvalues have a uniform dist when null is true
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist P-values: interpretation and distribution
2016 Isaac Asimov Memorial Debate: Is the Universe a Simulation?
Watch the 2020 Isaac Asimov Memorial Debate on Alien Life: https://youtu.be/xgESzc3hc2U What may have started as a science fiction speculation—that perhaps the universe as we know it is a computer simulation—has become a serious line of theoretical and experimental investigation among phy
From playlist Is the Universe a Simulation?: What We Know
Statistics: Ch 9 Hypothesis Testing (4 of 35) What is the "Alternative Hypothesis"?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 The null hypothesis (H0) is a statement about the population, the product, the design, of the capability or property of a population,
From playlist STATISTICS CH 9 HYPOTHESIS TESTING